Research on the green total factor productivity of laying hens in China

Zhong, Shen; Li, Junwei; Chen, Xi; Wen, Hongmei

doi:10.1016/j.jclepro.2021.128150

Cited by 18 publications

(9 citation statements)

References 58 publications

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“…Based on the previous studies [ 12 , 44 ], this paper adopted the SBM model and GML index to evaluate the urban GSDL with the following indicators shown in Table 1 .…”

Section: Methodsmentioning

confidence: 99%

Spatial-Temporal Evolution and Influencing Factors of Urban Green and Smart Development Level in China: Evidence from 232 Prefecture-Level Cities

Wang

2022

IJERPH

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Green and smart city is an optimal choice for cities to realize their modernization of governance capacity and sustainable development. As such, it is necessary to clarify the evolutionary characteristics and driving mechanism of urban green and smart development level (GSDL) systematically. From the perspective of green total factor productivity (GTFP), this study adopted the SBM-GML (slack-based model & global Malmquist–Luenberger) method to measure the urban GSDL considering smart input-output elements. Based on the panel data of China’s 232 prefecture-level cities from 2005 to 2018, the spatial and temporal evolution characteristics of urban GSDL were explored, and the factors and structural mutation points affecting urban GSDL were analyzed with quantile regression tests and threshold regression tests. The findings of this paper showed that (1) there is an upward trend in the volatility of urban GSDL from 2005 to 2018, in which the eastern region was highest, followed by the central and western regions, and the differentiation showed no converge among regions; (2) the effect of technical progress and technical efficiency improvement on the urban GSDL was demonstrated with a fluctuating “Two-Wheel-Drive” trend on the whole; (3) the urban GSDL was promoted by the opening-up level and urban scale significantly, while inhibited by the level of economic development and government size. Additionally, the effects of industrial structure, financial development level, and human capital level on the urban GSDL were distinctive at different loci; (4) the threshold effects of economic and financial development level on improving the positive effects of industrial structure and opening-up level on urban GSDL were significant. These findings may enrich the research literature on the evolutionary heterogeneity of green and smart cities and provide theoretical and practical exploration for the construction of green and smart cities.

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“…Based on the previous studies [ 12 , 44 ], this paper adopted the SBM model and GML index to evaluate the urban GSDL with the following indicators shown in Table 1 .…”

Section: Methodsmentioning

confidence: 99%

Spatial-Temporal Evolution and Influencing Factors of Urban Green and Smart Development Level in China: Evidence from 232 Prefecture-Level Cities

Wang

2022

IJERPH

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“…However, when evaluating the efficiency of decision-making unit (DMU), this model does not take into account the impact of slack variables, which may lead to the deviation of efficiency measurement [28]. At the same time, the traditional DEA model is mainly based on the distance function that the expected output and the unexpected output expand in the same proportion, which means that the unexpected output cannot be reduced [29,30]. The SBM model can make up for the shortcomings of traditional DEA, measure the invalid rate from the perspective of input and output, and adjust the input, expected output and unexpected output in different proportions [31,32].…”

Section: Literature Reviewmentioning

confidence: 99%

Analysis on the green total factor productivity of pig breeding in China: Evidence from a meta-frontier approach

Zhong

Guo

2022

PLoS ONE

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The pig industry occupies an extremely significant position in agriculture. The input cost, output income and the amount of pollution emitted by pig farming of different scales are unequal. It is of great practical importance to reduce pollutant emission by improving efficiency for the development of hog breeding industry in China. With the addition of undesirable output, this paper uses the Slack Based Measure- Metafrontier Malmquist Luenberger index model considering scale heterogeneity to explore the evolution characteristics of China’s green total factor productivity of pig breeding (GTPB) based on the data of China’s 17 major pig producing provinces from 2004 to 2018. The results indicate that: (1) From 2004 to 2018, China’s large-scale GTPB is the highest, the medium-sized is the second, and the small-scale is the lowest. (2) In terms of regional distribution, China’s GTPB in western region is the highest, in eastern region is the second, and in central region is the lowest. (3) China’s GTPB shows efficiency growth and technological decline from 2004 to 2018. The pig breeding industry is generally fragile, which is greatly affected by emergencies. (4)The TGR of large-scale pig breeding is closest to 1, followed by middle-scale, and finally small-scale. According to the above empirical results, this text puts forward some policy suggestions to improve GTPB and environmental protection recommendations of hog breeding.

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“…Based on the research of the existing literature 36 , this paper selects five indexes to build the input–output indicator system. Details are as below: Input variables: Quantity of concentrated forage.…”

Section: Methodsmentioning

confidence: 99%

“…Njuki et al used the DDF model to calculate the pig breeding efficiency of farms in the eastern United States, and found that the production efficiency of large farms was higher than the production efficiency of small farms 35 . Zhong et al also used DDF model to evaluate the green total factor productivity of laying hens in China 36 . However, DDF model belongs to radial and angled model, which cannot deal with the problem of relaxation well.…”

Section: Literature Reviewmentioning

confidence: 99%

A perspective of scale differences for studying the green total factor productivity of Chinese laying hens

Zhong

Chen

et al. 2022

Sci Rep

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In people’s daily life, egg is one of the main animal protein foods, which will produce different emissions on its breeding procedure. Therefore, in order to promote the development of China’s layer industry, it is necessary to reduce pollutant emissions by improving efficiency. This paper uses Minimum distance to weak efficient frontier-Metafrontier Malmquist Luenberger (MinDW-MML) index model, by considering environmental factors and scale heterogeneity, to explore the evolution characteristics of laying hens breeding green total factor productivity (LHG) in China based on the data of 24 major laying provinces (municipalities) from 2004 to 2018. The results show that: (1) From 2004 to 2018, medium-scale LHG in China is the highest, the small-scale is the second, and the large-scale is the lowest. In the light of regional distribution, the western region is the highest, followed by the central region, and the eastern region is the lowest. (2) From 2004 to 2018, the overall China’s LHG showed a positive growth, and the decomposition indicators were characterized by decreased efficiency and technological progress. In general, the layer industry is vulnerable and easily affected by external factors. (3) Results from common frontiers and group frontiers exist some differences. The LHG under the common frontier is lower than the LHG under the group frontier. Finally, according to the above empirical results, this paper puts forward policy suggestions to improve LHG and environmental protection suggestions for laying hens.

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Research on the green total factor productivity of laying hens in China

Cited by 18 publications

References 58 publications

Spatial-Temporal Evolution and Influencing Factors of Urban Green and Smart Development Level in China: Evidence from 232 Prefecture-Level Cities

Spatial-Temporal Evolution and Influencing Factors of Urban Green and Smart Development Level in China: Evidence from 232 Prefecture-Level Cities

Analysis on the green total factor productivity of pig breeding in China: Evidence from a meta-frontier approach

A perspective of scale differences for studying the green total factor productivity of Chinese laying hens

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